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Title: Blind Estimation of Linear and Nonlinear Sparse Channels, Journal of Telecommunications and Information Technology, 2013, nr 1

Autor:

Georoulakis, Kristina

Data wydania:

2013, nr 1

Typ zasobu:

artykuł

Opis:

This paper presents a Clustering Based Blind Channel Estimator for a special case of sparse channels – the zero pad channels. The proposed algorithm uses an unsupervised clustering technique for the estimation of data clusters. Clusters labelling is performed by a Hidden Markov Model of the observation sequence appropriately modified to exploit channel sparsity. The algorithm achieves a substantial complexity reduction compared to the fully evaluated technique. The proposed algorithm is used in conjunction with a Parallel Trellis Viterbi Algorithm for data detection and simulation results show that the overall scheme exhibits the reduced complexity benefits without performance reduction.

Wydawca:

Instytut Łączności - Państwowy Instytut Badawczy, Warszawa

Format:

application/pdf

Identyfikator zasobu:

oai:bc.itl.waw.pl:1581 ; ISSN 1509-4553, on-line: ISSN 1899-8852

DOI:

10.26636/jtit.2013.1.1203

ISSN:

1509-4553

eISSN:

1899-8852

Źródło:

Journal of Telecommunications and Information Technology

Język:

ang

Prawa:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

sparse zero pad channels clustering techniques blind estimation and equalization

Object collections:

Last modified:

25 lut 2026

In our library since:

10 kwi 2014

Number of object content hits:

120

All available object's versions:

https://bc.itl.waw.pl/publication/1768

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Edition name Date
Georoulakis, Kristina, Blind Estimation of Linear and Nonlinear Sparse Channels, Journal of Telecommunications and Information Technology, 2013, nr 1 25 lut 2026
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Instytut Łączności – Państwowy Instytut Badawczy ul. Szachowa 1 04-894 Warszawa

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E-Mail

biblioteka@il-pib.pl

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